n nnnBud outgrowth is regulated by the interplay of multiple hormones,including auxin, cytokinin, strigolactones, and an unidentifiedlong-distance feedback signal that moves from shoot to root.The model of bud outgrowth regulation in pea (Pisum sativum)includes these signals and a network of five RAMOSUS (RMS) genesthat operate in a shoot-root-shoot loop to regulate the synthesisof, and response to, strigolactones. The number of componentsin this network renders the integration of new and existinghypotheses both complex and cumbersome. A hypothesis-drivencomputational model was therefore developed to help understandregulation of shoot branching. The model evolved in parallelwith stepwise laboratory research, helping to define and testkey hypotheses. The computational model was used to verify newmechanisms involved in the regulation of shoot branching byconfirming that the new hypotheses captured all relevant biologicaldata sets. Based on cytokinin and RMS1 expression analyses,this model is extended to include subtle but important differencesin the function of RMS3 and RMS4 genes in the shoot and rootstock.Additionally, this research indicates that a branch-derivedsignal upregulates RMS1 expression independent of the otherfeedback signal. Furthermore, we propose xylem-sap cytokininpromotes sustained bud outgrowth, rather than acting at theearlier stage of bud release.展开▼
机译：ABSTRACTn n
n TOP n <字体颜色= 464c53>抽象 n 介绍 n 结果 n 讨论 n 方法 n 参考文献 n n nnnBud的生长受多种激素的相互作用调节， 包括生长素，细胞分裂素，松果内酯和从芽到根的未确定的 长距离反馈信号。 豌豆芽生长调节模型（ Pisum sativum ） 包括这些信号以及由五个 RAMOSUS （ RMS ）基因 运行的网络Shoot-root-shoot循环，用于调节strigolactones的合成 及其响应。该网络中 组件的数量使得新的和现有的 假设的集成既复杂又麻烦。因此，建立了假设驱动的 计算模型，以帮助理解 枝条的调控。该模型与 并行进行逐步实验室研究，从而有助于定义和检验 关键假设。通过计算模型，通过 验证新假设捕获了所有相关的生物学 数据集，从而验证了参与枝条调控的新 机制。根据细胞分裂素和 RMS1 表达分析，扩展了 模型，使其在 RMS3 的功能上包含了细微但重要的差异 。 >和 RMS4 基因在茎和砧木中。 此外，该研究表明分支衍生的 信号上调 RMS1 表达式与其他 反馈信号无关。此外，我们建议木质部汁液细胞分裂素 促进持续的芽生长，而不是在芽释放的 早期起作用。展开▼
The University of Queensland, Australian Research Council Centre of Excellence for Integrative Legume Research and School of Biological Sciences, St. Lucia, 4072 Australia;
The University of Queensland, Centre for Biological Information Technology, St. Lucia, 4072 Australia;
The University of Queensland, Australian Research Council Centre of Excellence for Integrative Legume Research and School of Biological Sciences, St. Lucia, 4072 Australia;
